Róbert Csordás
Stanford University(US)
Publications by Year
Research Areas
Topic Modeling, Neural Networks and Applications, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications
Most-Cited Works
- → The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers(2021)54 cited
- → Randomized Positional Encodings Boost Length Generalization of Transformers(2023)15 cited
- → A Modern Self-Referential Weight Matrix That Learns to Modify Itself(2022)15 cited
- → Mindstorms in Natural Language-Based Societies of Mind(2023)14 cited
- → Going Beyond Linear Transformers with Recurrent Fast Weight Programmers(2021)13 cited
- → Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks(2020)13 cited
- → Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control(2019)10 cited
- → The Neural Data Router: Adaptive Control Flow in Transformers Improves\n Systematic Generalization(2021)8 cited